Saloni Potdar

Orcid: 0009-0006-0607-6104

According to our database1, Saloni Potdar authored at least 22 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
ConvKGYarn: Spinning Configurable and Scalable Conversational Knowledge Graph QA datasets with Large Language Models.
CoRR, 2024

Entity Disambiguation via Fusion Entity Decoding.
CoRR, 2024

Entity Disambiguation via Fusion Entity Decoding.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

The Third Workshop on Applied Machine Learning Management.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

AGRaME: Any-Granularity Ranking with Multi-Vector Embeddings.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Towards Cross-Cultural Machine Translation with Retrieval-Augmented Generation from Multilingual Knowledge Graphs.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
The Second Workshop on Applied Machine Learning Management.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022
Fast and Light-Weight Answer Text Retrieval in Dialogue Systems.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2022

Distinguish Sense from Nonsense: Out-of-Scope Detection for Virtual Assistants.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022

Improved Text Classification via Contrastive Adversarial Training.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Narrative Question Answering with Cutting-Edge Open-Domain QA Techniques: A Comprehensive Study.
Trans. Assoc. Comput. Linguistics, 2021

Improved Text Classification via Contrastive Adversarial Training.
CoRR, 2021

Benchmarking Commercial Intent Detection Services with Practice-Driven Evaluations.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Papers, 2021

Multilingual BERT Post-Pretraining Alignment.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2020
Benchmarking Intent Detection for Task-Oriented Dialog Systems.
CoRR, 2020

Frustratingly Hard Evidence Retrieval for QA Over Books.
Proceedings of the First Joint Workshop on Narrative Understanding, Storylines, and Events, 2020

2019
Out-of-Domain Detection for Low-Resource Text Classification Tasks.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Context-Aware Conversation Thread Detection in Multi-Party Chat.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Extracting Multiple-Relations in One-Pass with Pre-Trained Transformers.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Diverse Few-Shot Text Classification with Multiple Metrics.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

2017
Robust Task Clustering for Deep Many-Task Learning.
CoRR, 2017

Neural Models for Sequence Chunking.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017


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